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README.md
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This version removes all images from the 1.0 release to reduce download size and improve accessibility. All text and metadata remain unchanged.
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WorldCuisines is a massive-scale visual question answering (VQA) benchmark for multilingual and multicultural understanding through global cuisines. The dataset contains text-image pairs across 30 languages and dialects, spanning 9 language families and featuring over 1 million data points, making it the largest multicultural VQA benchmark as of 17 October 2024.
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## Overview
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This version removes all images from the 1.0 release to reduce download size and improve accessibility. All text and metadata remain unchanged.
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The paper was accepted to NAACL 2025 and received the Best Theme Paper award 🏆.
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WorldCuisines is a massive-scale visual question answering (VQA) benchmark for multilingual and multicultural understanding through global cuisines. The dataset contains text-image pairs across 30 languages and dialects, spanning 9 language families and featuring over 1 million data points, making it the largest multicultural VQA benchmark as of 17 October 2024.
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## Overview
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